ExoRad 2.0

ExoRad 2.0: The generic point source radiometric model - Published in JOSS (2023)

https://github.com/exobssim/exorad2-public

Science Score: 98.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 10 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org, zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation ·

Repository

ExoRad, the generic point source radiometric model.

Basic Info
Statistics
  • Stars: 12
  • Watchers: 3
  • Forks: 3
  • Open Issues: 0
  • Releases: 32
Created over 5 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog License Code of conduct Citation

README.md

PyPI version GitHub release (latest by date) Downloads Documentation Status License ASCL.net DOI DOI

ExoRad 2.0: The generic point source radiometric model

ExoRad, the generic point source radiometric model, interfaces with any instrument to provide an estimate of several Payload performance metrics.

As an example, for each target and for each photometric and spectroscopic channel, ExoRad provides estimates of:

1) signals in pixels 2) saturation times 3) read noise 4) photon noise 5) dark current noise 6) zodiacal bkg 7) inner sanctum 8) sky foreground

Cite

If you use this software please cite: Mugnai et al., (2023). ExoRad 2.0: The generic point source radiometric model. Journal of Open Source Software, 8(89), 5348, (doi: 10.21105/joss.05348)

Installation

Installing from PyPi

You can install it by doing

pip install exorad

Installing from source

Clone the directory using:

git clone https://github.com/ExObsSim/ExoRad2-public

Move into the ExoRad2 folder.

ExoRad uses Poetry for dependency management and package installation. If you haven't installed Poetry yet, you can do so by running the following command:

pip install poetry

For more details, refer to the official Poetry documentation.

Once Poetry is installed, you can proceed with installing ExoRad:

poetry install

Run

Once Exorad is installed in your system you can run it from console. Run exorad --help to read the list of accepted keywords.

An example to ExoRad is provide in the ExoRad2/examples folder. From the ExoRad2 directory you can try

exorad -p examples/payload_example.xml -t examples/test_target.csv -o example_run/test.h5 

The code output will appear in a directory called example_run

Documentation

The full documentation is available here

Or you can build the documentation yourself using sphinx . To install it run

pip install sphinx sphinx_rtd_theme

From the ExoRad2/docs folder running

cd docs
make html

Then you will find the html version of the documentation in ExoRad2/docs/build/html/index.html.

Owner

  • Name: ExObsSim
  • Login: ExObsSim
  • Kind: organization

JOSS Publication

ExoRad 2.0: The generic point source radiometric model
Published
September 26, 2023
Volume 8, Issue 89, Page 5348
Authors
Lorenzo V. Mugnai ORCID
Dipartimento di Fisica, La Sapienza Università di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy, INAF – Osservatorio Astronomico di Palermo, Piazza del Parlamento 1, I-90134 Palermo, Italy, Department of Physics and Astronomy, University College London, Gower Street, London, WC1E 6BT, UK
Andrea Bocchieri ORCID
Dipartimento di Fisica, La Sapienza Università di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy
Enzo Pascale ORCID
Dipartimento di Fisica, La Sapienza Università di Roma, Piazzale Aldo Moro 2, 00185 Roma, Italy
Editor
Dan Foreman-Mackey ORCID
Tags
astronomy instrumentation exoplanets instrument simulators Simulated science

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Mugnai
    given-names: Lorenzo V.
    orcid: https://orcid.org/0000-0002-9007-9802
  - family-names: Bocchieri
    given-names: Andrea
    orcid: http://orcid.org/0000-0002-8846-7961
  - family-names: Pascale
    given-names: Enzo
    orcid: http://orcid.org/0000-0002-3242-8154

title: "ExoRad 2.0: The generic point source radiometric model"
doi: 10.21105/joss.05348
date-released: 2023-09-26

GitHub Events

Total
  • Watch event: 4
Last Year
  • Watch event: 4

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 86
  • Total Committers: 2
  • Avg Commits per committer: 43.0
  • Development Distribution Score (DDS): 0.012
Past Year
  • Commits: 8
  • Committers: 1
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Lorenzo Mugnai l****9@g****m 85
Derik K d****k 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 3
  • Average time to close issues: 14 days
  • Average time to close pull requests: about 7 hours
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • skendrew (1)
Pull Request Authors
  • LJBMyco (1)
  • derikk (1)
  • dfm (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 30 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 24
  • Total maintainers: 1
pypi.org: exorad

The generic point source radiometric model

  • Versions: 24
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 30 Last month
Rankings
Dependent packages count: 10.1%
Forks count: 16.8%
Average: 18.3%
Downloads: 20.0%
Dependent repos count: 21.6%
Stargazers count: 23.1%
Maintainers (1)
Last synced: 6 months ago

Dependencies

.github/workflows/ci_linux.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
setup.py pypi